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Suvorov, Ruslan; He, Shanshan – International Journal of Listening, 2022
There is a growing consensus that the ability to understand and process visual information should be part of the second language (L2) listening construct; however, the findings of studies exploring the use of visuals in L2 listening assessment contexts remain inconclusive. To better understand the underlying reasons for these inconclusive results,…
Descriptors: Second Language Learning, Listening Comprehension, Listening Comprehension Tests, Visual Aids
Broughman, Stephen; Kincel, Brian; Peterson, Jennifer – National Center for Education Statistics, 2022
The Private School Universe Survey (PSS) is conducted by the National Center for Education Statistics (NCES) on behalf of the U.S. Department of Education to collect basic information on American private elementary and secondary schools. PSS is currently designed to generate biennial data on the total number of private schools, teachers, and…
Descriptors: School Surveys, Private Schools, Elementary Schools, Secondary Schools
Ash, Katherine; Bergson-Shilcock, Amanda; Webber, Alison; Mortrude, Judy; Schill, Aaron – National Governors Association, 2022
The Digital Equity Act (DEA), a provision within the Infrastructure Investment and Jobs Act (Public Law 117-58), includes a historic federal investment to promote digital equity, literacy, and inclusion. In particular, the State Digital Equity Capacity Grant Program will award nearly $1.5 billion in federal funds to states to support the…
Descriptors: Data Use, Technological Literacy, Data Collection, Story Telling
Advance CTE: State Leaders Connecting Learning to Work, 2022
This brief, the second in the series, advances a theory of change that centers the learner experience in strategies to improve institutional data collection and use and strengthen college information management systems. It is the second in the Advance CTE's Advancing Postsecondary CTE Data Quality Initiative (PDI) series highlighting five states…
Descriptors: Vocational Education, Program Improvement, Data Use, Data Collection
Wilhelmina Van Dijk; Cynthia U. Norris; Stephanie Al Otaiba; Christopher Schatschneider; Sara A. Hart – Grantee Submission, 2022
This manuscript provides information on datasets pertaining to Project KIDS. Datasets include behavioral and achievement data for over 4,000 students between five and twelve years old participating in nine randomized control trials of reading instruction and intervention between 2005-2011, and information on home environments of a subset of 442…
Descriptors: Data, Reading Instruction, Intervention, Family Environment
Jamie L. Remmers – ProQuest LLC, 2022
Most higher education institutions in the United States would not be able to answer, "how many LGBTQ+ students are at your school?" Rarely are colleges and universities asking students to self-identify their sexual or gender identity, leading to disconnect with the community, gaps of information, and difficulty with outreach. The purpose…
Descriptors: Higher Education, LGBTQ People, Data Collection, Data Use
van Dijk, Wilhelmina; Schatschneider, Christopher; Hart, Sara A. – Journal of Learning Disabilities, 2021
The Open Science movement has gained considerable traction in the last decade. The Open Science movement tries to increase trust in research results and open the access to all elements of a research project to the public. Central to these goals, Open Science has promoted five critical tenets: Open Data, Open Analysis, Open Materials,…
Descriptors: Science Instruction, Scientific Research, Research Methodology, Access to Information
Pangrazio, Luci; Selwyn, Neil – Pedagogy, Culture and Society, 2021
The ongoing 'datafication' of contemporary society has a number of implications for schools and schooling. One is the increasing calls for schools to help develop young people's understandings about the role that digital data now plays in their everyday lives -- especially in terms of the 'data economy' and 'surveillance capitalism'. Reporting on…
Descriptors: Data Collection, Data Analysis, Technology Uses in Education, Data Processing
Ubilla, Francisca M.; Vásquez, Claudia; Rojas, Francisco; Gorgorió, Núria – Statistics Education Research Journal, 2021
We consider the ability to complete an investigative cycle as an indicator of the robustness of students' statistical knowledge. From this standpoint, we analyzed the written reports of primary education student teachers when they developed an investigative cycle in a Chilean and a Spanish university. In their development of the stages of the…
Descriptors: Foreign Countries, Teacher Education Programs, Elementary School Teachers, Statistics Education
Sarah E. Long – ProQuest LLC, 2021
Missing values that fail to be appropriately accounted for may lead to reduced statistical power, biased estimators, reduced representativeness of the sample, and incorrect interpretations and conclusions (Gorelick, 2006). The current study provided an ontological perspective of data manipulation by explaining how statistical results can…
Descriptors: Statistics, Data Use, Student Records, School Holding Power
Lauren Berkovits; Jan Blacher; Abbey Eisenhower; Stuart Daniel – Journal of Autism and Developmental Disorders, 2025
Purpose: Comparative data of autism-sensitive standardized measures of emotion regulation and lability, describing percentage change over time for populations of young autistic children, are currently publicly unavailable. We propose publication of such data as a support for future therapeutic intervention studies. Methods: We generate and present…
Descriptors: Emotional Response, Check Lists, Autism Spectrum Disorders, Comparative Analysis
Julian Schuessler; Peter Selb – Sociological Methods & Research, 2025
Directed acyclic graphs (DAGs) are now a popular tool to inform causal inferences. We discuss how DAGs can also be used to encode theoretical assumptions about nonprobability samples and survey nonresponse and to determine whether population quantities including conditional distributions and regressions can be identified. We describe sources of…
Descriptors: Data Collection, Graphs, Error of Measurement, Statistical Bias
Madeleine Munzer; Nicole Jameson; Arianwen Harris; Ciara Curran; Natalie Dinsdale; Karleen Gribble – Journal of Academic Ethics, 2025
Including women in research and collecting and disaggregating data on sex is an ethical imperative. However, increasingly gender identity is being prioritised over sex in data collection and language which has ethical implications. In this paper, the authors share their experiences as study participants; a health consumer advocate, patient…
Descriptors: Sex, Gender Identity, Research Problems, Research Administration
Sean M. Baser; William B. Walker Jr.; Matt T. Dean; Mónica Maldonado – State Higher Education Executive Officers, 2025
State regulators are the central authority in higher-education oversight, charged with ensuring consumer protection and quality assurance within the regulatory triad. Yet gaps remain in the understanding of regulatory renewal processes, their real-world implementation, and the capacity challenges these agencies face. To address this, State Higher…
Descriptors: Higher Education, State Regulation, Governance, Accountability
Juliette Woodrow; Sanmi Koyejo; Chris Piech – International Educational Data Mining Society, 2025
High-quality feedback requires understanding of a student's work, insights into what concepts would help them improve, and language that matches the preferences of the specific teaching team. While Large Language Models (LLMs) can generate coherent feedback, adapting these responses to align with specific teacher preferences remains an open…
Descriptors: Feedback (Response), Artificial Intelligence, Teacher Attitudes, Preferences

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